Abstract
MicroRNAs (miRNAs) are a class of noncoding small RNAs, which play a critical role in various biological processes including musculoskeletal formation and arthritis pathogenesis via regulating target gene expressions, raising the potentially substantial effects on gene expression networks. Over 2000 miRNAs are encoded in the human genome and a single miRNA potentially targets hundreds of genes. To examine the expression and function of miRNAs in chondrocytes and arthritis pathogenesis, we describe the protocols for the current miRNA related experiments including miRNA expression profiling by (1) Next Generation Sequencing and by TaqMan Array system, (2) miRNA target prediction by TargetScan, (3) miRNA target screening by cell-based reporter library assay, and (4) miRNA and its target interaction by HITS-CLIP (high-throughput sequencing of RNAs isolated by cross-linking immunoprecipitation) in cartilage and chondrocyte research.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Miyaki S, Asahara H (2012) Macro view of microRNA function in osteoarthritis. Nat Rev Rheumatol 8:543–552
Inui M, Mokuda S, Sato T et al (2018) Dissecting the roles of miR-140 and its host gene. Nat Cell Biol 20:516–518
Nakasa T, Miyaki S, Okubo A et al (2008) Expression of microRNA-146 in rheumatoid arthritis synovial tissue. Arthritis Rheum 58:1284–1292
Miyaki S, Sato T, Inoue A et al (2010) MicroRNA-140 plays dual roles in both cartilage development and homeostasis. Genes Dev 24:1173–1185
Miyaki S, Nakasa T, Otsuki S et al (2009) MicroRNA-140 is expressed in differentiated human articular chondrocytes and modulates interleukin-1 responses. Arthritis Rheum 60:2723–2730
Bartel DP (2018) Metazoan MicroRNAs. Cell 173:20–51
Lim LP, Lau NC, Garrett-Engele P et al (2005) Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs. Nature 433:769–773
Kozomara A, Birgaoanu M, Griffiths-Jones S (2019) miRBase: from microRNA sequences to function. Nucleic Acids Res 47:D155–D162
Creighton CJ, Reid JG, Gunaratne PH (2009) Expression profiling of microRNAs by deep sequencing. Brief Bioinform 10:490–497
Morin RD, O’Connor MD, Griffith M et al (2008) Application of massively parallel sequencing to microRNA profiling and discovery in human embryonic stem cells. Genome Res 18:610–621
Chiang HR, Schoenfeld LW, Ruby JG et al (2010) Mammalian microRNAs: experimental evaluation of novel and previously annotated genes. Genes Dev 24:992–1009
Hu Y, Lan W, Miller D (2017) Next-generation sequencing for MicroRNA expression profile. Methods Mol Biol 1617:169–177
Chen C, Ridzon DA, Broomer AJ et al (2005) Real-time quantification of microRNAs by stem-loop RT-PCR. Nucleic Acids Res 33:e179
Mestdagh P, Feys T, Bernard N et al (2008) High-throughput stem-loop RT-qPCR miRNA expression profiling using minute amounts of input RNA. Nucleic Acids Res 36:e143
Grigorenko EV, Ortenberg E, Hurley J et al (2011) miRNA profiling on high-throughput OpenArrayTM system. In: Wu W (ed) MicroRNA and cancer: methods and protocols. Humana Press, Totowa, NJ, pp 101–110
Chen Y, Gelfond JAL, McManus LM, Shireman PK (2009) Reproducibility of quantitative RT-PCR array in miRNA expression profiling and comparison with microarray analysis. BMC Genomics 10:407
Hui ABY, Shi W, Boutros PC et al (2009) Robust global micro-RNA profiling with formalin-fixed paraffin-embedded breast cancer tissues. Lab Investig 89:597–606
McAlinden A, Varghese N, Wirthlin L, Chang L-W (2013) Differentially expressed microRNAs in chondrocytes from distinct regions of developing human cartilage. PLoS One 8:e75012
Ambros V, Bartel B, Bartel DP et al (2003) A uniform system for microRNA annotation. RNA 9:277–279
Griffiths-Jones S (2004) The microRNA Registry. Nucleic Acids Res 32:D109–D111
Enright AJ, John B, Gaul U et al (2003) MicroRNA targets in drosophila. Genome Biol 5:R1
John B, Enright AJ, Aravin A et al (2004) Human microRNA targets. PLoS Biol 2:e363
Lewis BP, Burge CB, Bartel DP (2005) Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets. Cell 120:15–20
Grimson A, Farh KK-H, Johnston WK et al (2007) MicroRNA targeting specificity in mammals: determinants beyond seed pairing. Mol Cell 27:91–105
Sticht C, De La Torre C, Parveen A, Gretz N (2018) miRWalk: an online resource for prediction of microRNA binding sites. PLoS One 13:e0206239
Bhattacharyya SN, Habermacher R, Martine U et al (2006) Relief of microRNA-mediated translational repression in human cells subjected to stress. Cell 125:1111–1124
Bartel DP (2009) MicroRNAs: target recognition and regulatory functions. Cell 136:215–233
Meijer HA, Kong YW, Lu WT et al (2013) Translational repression and eIF4A2 activity are critical for microRNA-mediated gene regulation. Science 340:82–85
Lewis BP, Shih I-H, Jones-Rhoades MW et al (2003) Prediction of mammalian microRNA targets. Cell 115:787–798
Wolter JM, Kotagama K, Pierre-Bez AC et al (2014) 3’LIFE: a functional assay to detect miRNA targets in high-throughput. Nucleic Acids Res 42:e132
Wolter JM, Kotagama K, Babb CS, Mangone M (2015) Detection of miRNA targets in high-throughput using the 3’LIFE assay. J Vis Exp (99):e52647
Kotagama K, Babb CS, Wolter JM et al (2015) A human 3’UTR clone collection to study post-transcriptional gene regulation. BMC Genomics 16:1036
Ito Y, Inoue A, Seers T et al (2017) Identification of targets of tumor suppressor microRNA-34a using a reporter library system. Proc Natl Acad Sci U S A 114:3927–3932
Licatalosi DD, Mele A, Fak JJ et al (2008) HITS-CLIP yields genome-wide insights into brain alternative RNA processing. Nature 456:464–469
Chi SW, Zang JB, Mele A, Darnell RB (2009) Argonaute HITS-CLIP decodes microRNA-mRNA interaction maps. Nature 460:479–486
Moore MJ, Zhang C, Gantman EC et al (2014) Mapping Argonaute and conventional RNA-binding protein interactions with RNA at single-nucleotide resolution using HITS-CLIP and CIMS analysis. Nat Protoc 9:263–293
Loeb GB, Khan AA, Canner D et al (2012) Transcriptome-wide miR-155 binding map reveals widespread noncanonical microRNA targeting. Mol Cell 48:760–770
Pal M, Ishigaki Y, Nagy E, Maquat LE (2001) Evidence that phosphorylation of human Upfl protein varies with intracellular location and is mediated by a wortmannin-sensitive and rapamycin-sensitive PI 3-kinase-related kinase signaling pathway. RNA 7:5–15
Usuki F, Yamashita A, Kashima I et al (2006) Specific inhibition of nonsense-mediated mRNA decay components, SMG-1 or Upf1, rescues the phenotype of Ullrich disease fibroblasts. Mol Ther 14:351–360
Frischmeyer PA, Dietz HC (1999) Nonsense-mediated mRNA decay in health and disease. Hum Mol Genet 8:1893–1900
Hug N, Longman D, Cáceres JF (2016) Mechanism and regulation of the nonsense-mediated decay pathway. Nucleic Acids Res 44:1483–1495
Toma KG, Rebbapragada I, Durand S, Lykke-Andersen J (2015) Identification of elements in human long 3’ UTRs that inhibit nonsense-mediated decay. RNA 21:887–897
Eberle AB, Stalder L, Mathys H et al (2008) Posttranscriptional gene regulation by spatial rearrangement of the 3′ untranslated region. PLoS Biol 6:e92
Singh G, Rebbapragada I, Lykke-Andersen J (2008) A competition between stimulators and antagonists of Upf complex recruitment governs human nonsense-mediated mRNA decay. PLoS Biol 6:e111
Ruiz-EchevarrÃa MJ, Peltz SW (2000) The RNA binding protein Pub1 modulates the stability of transcripts containing upstream open reading frames. Cell 101:741–751
Hogg JR, Goff SP (2010) Upf1 senses 3’UTR length to potentiate mRNA decay. Cell 143:379–389
Huang L, Lou C-H, Chan W et al (2011) RNA homeostasis governed by cell type-specific and branched feedback loops acting on NMD. Mol Cell 43:950–961
Hurt JA, Robertson AD, Burge CB (2013) Global analyses of UPF1 binding and function reveal expanded scope of nonsense-mediated mRNA decay. Genome Res 23:1636–1650
Yepiskoposyan H, Aeschimann F, Nilsson D et al (2011) Autoregulation of the nonsense-mediated mRNA decay pathway in human cells. RNA 17:2108–2118
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Science+Business Media, LLC, part of Springer Nature
About this protocol
Cite this protocol
Chiba, T. et al. (2021). MicroRNA Expression Profiling, Target Identification, and Validation in Chondrocytes. In: Haqqi, T.M., Lefebvre, V. (eds) Chondrocytes. Methods in Molecular Biology, vol 2245. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1119-7_11
Download citation
DOI: https://doi.org/10.1007/978-1-0716-1119-7_11
Published:
Publisher Name: Humana, New York, NY
Print ISBN: 978-1-0716-1118-0
Online ISBN: 978-1-0716-1119-7
eBook Packages: Springer Protocols